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Röver, Christian; Friede, Tim – Research Synthesis Methods, 2022
The variance-stabilizing Freeman-Tukey double arcsine transform was originally proposed for inference on single proportions. Subsequently, its use has been suggested in the context of meta-analysis of proportions. While some erratic behavior has been observed previously, here we point out and illustrate general issues of monotonicity and…
Descriptors: Meta Analysis, Research Problems, Statistical Analysis
Henmi, Masayuki; Hattori, Satoshi; Friede, Tim – Research Synthesis Methods, 2021
In meta-analyses including only few studies, the estimation of the between-study heterogeneity is challenging. Furthermore, the assessment of publication bias is difficult as standard methods such as visual inspection or formal hypothesis tests in funnel plots do not provide adequate guidance. Previously, Henmi and Copas (Statistics in Medicine…
Descriptors: Statistical Analysis, Computation, Bias, Publications
Huang, Ao; Komukai, Sho; Friede, Tim; Hattori, Satoshi – Research Synthesis Methods, 2021
Prospective registration of study protocols in clinical trial registries is a useful way to minimize the risk of publication bias in meta-analysis, and several clinical trial registries are available nowadays. However, they are mainly used as a tool for searching studies and information submitted to the registries has not been utilized as…
Descriptors: Publications, Bias, Meta Analysis, Selection
Bender, Ralf; Friede, Tim; Koch, Armin; Kuss, Oliver; Schlattmann, Peter; Schwarzer, Guido; Skipka, Guido – Research Synthesis Methods, 2018
In systematic reviews, meta-analyses are routinely applied to summarize the results of the relevant studies for a specific research question. If one can assume that in all studies the same true effect is estimated, the application of a meta-analysis with common effect (commonly referred to as fixed-effect meta-analysis) is adequate. If…
Descriptors: Evidence, Synthesis, Meta Analysis, Research Problems
Günhan, Burak Kürsad; Friede, Tim; Held, Leonhard – Research Synthesis Methods, 2018
Network meta-analysis (NMA) is gaining popularity for comparing multiple treatments in a single analysis. Generalized linear mixed models provide a unifying framework for NMA, allow us to analyze datasets with dichotomous, continuous or count endpoints, and take into account multiarm trials, potential heterogeneity between trials and network…
Descriptors: Meta Analysis, Regression (Statistics), Statistical Inference, Probability